py-v0.2.0

New! ✨

New I/O support for reading and writing to geospatial formats

• Asynchronous FlatGeobuf reader. This also supports passing a spatial filter.
• Initial support for reading from PostGIS. Note that not all Postgres data types are supported yet. Create an issue if your query fails.
• Reading and writing newline-delimited GeoJSON.
• Pyogrio integration for reading from OGR/GDAL.
• Asynchronous GeoParquet reader for reading from remote files. By @weiji14 in #493
• Also new support for writing GeoParquet files.
• Most I/O readers and writers support Python file-like objects (in binary mode).
• Support for reading and writing Arrow IPC files.

Better interoperability with the Python geospatial ecosystem.

• Import from and export to GeoPandas GeoDataFrames. Refer to the GeoPandas interoperability documentation.
• Import from and export to Shapely arrays. Refer to the Shapely interoperability documentation.
• Better integration with Lonboard for fast visualization in Jupyter.
• All scalars, arrays, chunked arrays, and table objects implement __geo_interface__ for interoperability with existing tools.
• Numpy interoperability for float array output from algorithms. Pass any Float64Array or BooleanArray to numpy.asarray. You can also pass a numpy array as vectorized input into a function like line_interpolate_point.

New algorithms!

• Explode a Table where each multi-geometry expands into multiple rows of single geometries.
• total_bounds
• Unified area function for planar and geodesic area.
• Unified simplify function for multiple simplification methods. Also new support for topology-preserving simplification.
• Unified length function for euclidean and geodesic length calculations.
• frechet_distance for LineString similarity.
• affine_transform, which integrates with the Python affine library.
• line_interpolate_point and line_locate_point for linear referencing.
• polylabel for polygon labeling.

Improved display of Python objects:

• Scalars now display as SVG geometries inside Jupyter environments.
• Tables, arrays, and chunked arrays implement __repr__ so that you can inspect data easily.

Improved usability:

• PointArray.from_xy to simplify creating a point array from numpy arrays of coordinates.
• Index into arrays and chunked arrays with square brackets. E.g. point_array[0] will access the first point in the array. Negative indexing is also supported, so point_array[-1] will get the last item in the array.
• New top-level docs website.

New Contributors

• @Robinlovelace made their first contribution in #484
• @weiji14 made their first contribution in #493

Full Changelog: py-v0.1.0...py-v0.2.0